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| SYLLABUS |
| Fundamental Statistical Methods,
6 ECTS Credits |
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COURSE CATEGORY Fristående kurs
MAIN FIELD OF STUDY Statistic - STA
SUBJECT AREA Statistics – ST1
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COURSE CODE |
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732G37 |
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| AIM OF THE COURSE |
Having completed the course, the student should be able to:
- use knowledge of the common statistical distributions for building statistical models.
- demonstrate a basic understanding of the main principles within point estimation, interval estimation and hypothesis testing,
- demonstrate a basic understanding of the main concepts of Bayesian analysis,
- build linear regression models, check their uncertainty and perform model comparison. |
| CONTENTS |
The course provides a theoretical basis of statistical concepts and methods that are required for using statistics in other applied areas.
- Concept of probability
- Random variable, common statistical distributions and their properties
- Point and interval estimation
- Hypothesis testing
- Simple and multiple linear regression, t-test and F-test. Residual and outlier analyses
- Likelihood, prior and posterior distribution, and Bayes theorem
- Concepts of Markov chains |
| TEACHING |
| The teaching comprises lectures, seminars, and computer exercises complemented by self-studies. The lectures are devoted to presentations of concepts, theories and methods. The computer exercises provide practical experience of statistical analysis. The seminars comprise presentations and discussions of various assignments. |
| EXAMINATION |
Written reports on the computer assignments. One final written examination. Detailed information about the examination can be found in the courses study guide.
Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.
Students who have passed an examination may not retake it in order to improve their grades. |
| ADMISSION REQUIREMENTS |
For acceptance to the course, the student must have competed courses in calculus and linear algebra and a course/courses covering at least 4 ECTS in statistics.
Documented knowledge of English equivalent to Engelska B/Engelska 6: internationally recognized test, e.g. TOEFL (minimum scores: Paper based 575 + TWE-score 4.5, and internet based 90+TWE-score 20), IELTS, academic (minimum score Overall band 6.5 and no band under 5.5), or equivalent. |
| GRADING |
| The course is graded according to the ECTS grading scale A-F |
| CERTIFICATE |
| Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division. |
| COURSE LITERATURE |
| The course literature is decided upon by the department
in question. |
| OTHER INFORMATION |
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.
The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed. |
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Fundamental Statistical Methods
Statistiska grunder |
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Department responsible
for
the course or
equivalent:
IDA - Department of Computer and Information Science |
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| Registrar No: 2014-00545 |
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Course Code: 732G37 |
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Exam codes: see Local Computer System |
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| Subject/Subject Area : Statistic - STA |
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| Level |
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Education level |
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Subject Area Code |
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Field of Education |
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| G2X |
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Basic level |
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SA |
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The syllabus was approved by the Board of Faculty of Arts and Science 2014-05-28
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